Wearable Movement Understanding

May 10, 2026 ยท 1 min read
projects

This project line studies how sparse wearable sensors can move from tracking observable body motion to inferring deeper biomechanical and physiological signals such as plantar pressure, ground reaction force, kinetics, muscle activation, and physical interaction.

It connects systems including PressInPose, Motion2Press, KineticsSense, MuscleSense, HALO, and WatchForce into a coherent research route for everyday hidden-state understanding, mobile deployment, and closed-loop wearable feedback.

Wearable Sensing Hidden-State Understanding Mobile Health
Wenbo Zhang
Authors
Wenbo Zhang
PhD Candidate at SCUT
Visiting Researcher at UCL, 2026
I develop human-centered wearable systems that recover consequential physical states from multimodal sensing and turn them into useful feedback and interaction.